Dataset statistics
| Number of variables | 19 |
|---|---|
| Number of observations | 494778 |
| Missing cells | 1147937 |
| Missing cells (%) | 12.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 71.7 MiB |
| Average record size in memory | 152.0 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 8 |
| Unsupported | 1 |
Date has a high cardinality: 577 distinct values | High cardinality |
Sales is highly correlated with Customers and 1 other fields | High correlation |
DayOfWeek is highly correlated with Open | High correlation |
Customers is highly correlated with Sales and 1 other fields | High correlation |
Open is highly correlated with Sales and 2 other fields | High correlation |
Sales is highly correlated with Customers and 1 other fields | High correlation |
DayOfWeek is highly correlated with Open | High correlation |
Customers is highly correlated with Sales and 1 other fields | High correlation |
Open is highly correlated with Sales and 2 other fields | High correlation |
Sales is highly correlated with Customers and 1 other fields | High correlation |
Customers is highly correlated with Sales and 1 other fields | High correlation |
Open is highly correlated with Sales and 1 other fields | High correlation |
Promo2 is highly correlated with PromoInterval | High correlation |
StoreType is highly correlated with Assortment | High correlation |
PromoInterval is highly correlated with Promo2 | High correlation |
Assortment is highly correlated with StoreType | High correlation |
df_index is highly correlated with Store | High correlation |
Sales is highly correlated with DayOfWeek and 3 other fields | High correlation |
Store is highly correlated with df_index | High correlation |
StoreType is highly correlated with Assortment | High correlation |
Assortment is highly correlated with StoreType and 1 other fields | High correlation |
CompetitionOpenSinceYear is highly correlated with Promo2SinceWeek | High correlation |
Promo2SinceWeek is highly correlated with CompetitionOpenSinceYear and 2 other fields | High correlation |
Promo2SinceYear is highly correlated with Promo2SinceWeek and 1 other fields | High correlation |
PromoInterval is highly correlated with Promo2SinceWeek and 1 other fields | High correlation |
DayOfWeek is highly correlated with Sales and 1 other fields | High correlation |
Customers is highly correlated with Sales and 1 other fields | High correlation |
Open is highly correlated with Sales and 1 other fields | High correlation |
Promo is highly correlated with Sales | High correlation |
Sales has 14813 (3.0%) missing values | Missing |
CompetitionOpenSinceMonth has 157257 (31.8%) missing values | Missing |
CompetitionOpenSinceYear has 157257 (31.8%) missing values | Missing |
Promo2SinceWeek has 242663 (49.0%) missing values | Missing |
Promo2SinceYear has 242663 (49.0%) missing values | Missing |
PromoInterval has 242663 (49.0%) missing values | Missing |
DayOfWeek has 14838 (3.0%) missing values | Missing |
Customers has 14900 (3.0%) missing values | Missing |
Open has 14775 (3.0%) missing values | Missing |
Promo has 14915 (3.0%) missing values | Missing |
StateHoliday has 14837 (3.0%) missing values | Missing |
SchoolHoliday has 15033 (3.0%) missing values | Missing |
df_index is uniformly distributed | Uniform |
df_index has unique values | Unique |
StateHoliday is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Sales has 81986 (16.6%) zeros | Zeros |
Customers has 82004 (16.6%) zeros | Zeros |
Reproduction
| Analysis started | 2021-11-07 10:16:35.622372 |
|---|---|
| Analysis finished | 2021-11-07 10:18:18.833957 |
| Duration | 1 minute and 43.21 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 494778 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 309093.2235 |
| Minimum | 1 |
|---|---|
| Maximum | 618471 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 30851.7 |
| Q1 | 154414.5 |
| median | 309105.5 |
| Q3 | 463615.75 |
| 95-th percentile | 587360.15 |
| Maximum | 618471 |
| Range | 618470 |
| Interquartile range (IQR) | 309201.25 |
Descriptive statistics
| Standard deviation | 178489.2561 |
|---|---|
| Coefficient of variation (CV) | 0.5774609163 |
| Kurtosis | -1.199783755 |
| Mean | 309093.2235 |
| Median Absolute Deviation (MAD) | 154599 |
| Skewness | 0.0004499433344 |
| Sum | 1.529325269 × 1011 |
| Variance | 3.185841453 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2049 | 1 | < 0.1% |
| 320457 | 1 | < 0.1% |
| 492453 | 1 | < 0.1% |
| 494500 | 1 | < 0.1% |
| 504739 | 1 | < 0.1% |
| 506786 | 1 | < 0.1% |
| 500641 | 1 | < 0.1% |
| 502688 | 1 | < 0.1% |
| 414623 | 1 | < 0.1% |
| 416670 | 1 | < 0.1% |
| Other values (494768) | 494768 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 |
| Value | Count | Frequency (%) |
| 618471 | 1 | |
| 618470 | 1 | |
| 618469 | 1 | |
| 618468 | 1 | |
| 618467 | 1 | |
| 618466 | 1 | |
| 618465 | 1 | |
| 618463 | 1 | |
| 618462 | 1 | |
| 618461 | 1 |
| Distinct | 19017 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 14813 |
| Missing (%) | 3.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5666.719767 |
| Minimum | 0 |
|---|---|
| Maximum | 38037 |
| Zeros | 81986 |
| Zeros (%) | 16.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 3638 |
| median | 5626 |
| Q3 | 7714 |
| 95-th percentile | 11947 |
| Maximum | 38037 |
| Range | 38037 |
| Interquartile range (IQR) | 4076 |
Descriptive statistics
| Standard deviation | 3805.148502 |
|---|---|
| Coefficient of variation (CV) | 0.6714905021 |
| Kurtosis | 1.914747986 |
| Mean | 5666.719767 |
| Median Absolute Deviation (MAD) | 2042 |
| Skewness | 0.6777930813 |
| Sum | 2719827153 |
| Variance | 14479155.12 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 81986 | 16.6% |
| 5680 | 102 | < 0.1% |
| 5483 | 101 | < 0.1% |
| 6049 | 100 | < 0.1% |
| 5200 | 98 | < 0.1% |
| 5197 | 98 | < 0.1% |
| 5194 | 96 | < 0.1% |
| 5636 | 96 | < 0.1% |
| 5489 | 96 | < 0.1% |
| 4828 | 96 | < 0.1% |
| Other values (19007) | 397096 | |
| (Missing) | 14813 | 3.0% |
| Value | Count | Frequency (%) |
| 0 | 81986 | |
| 133 | 1 | < 0.1% |
| 286 | 1 | < 0.1% |
| 297 | 1 | < 0.1% |
| 416 | 1 | < 0.1% |
| 506 | 1 | < 0.1% |
| 538 | 1 | < 0.1% |
| 541 | 1 | < 0.1% |
| 552 | 1 | < 0.1% |
| 555 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 38037 | 1 | |
| 37403 | 1 | |
| 35909 | 1 | |
| 35350 | 1 | |
| 34904 | 1 | |
| 34814 | 1 | |
| 34692 | 2 | |
| 34475 | 1 | |
| 34369 | 1 | |
| 34001 | 1 |
| Distinct | 1115 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 557.8484512 |
| Minimum | 1 |
|---|---|
| Maximum | 1115 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 56 |
| Q1 | 279 |
| median | 558 |
| Q3 | 836 |
| 95-th percentile | 1059 |
| Maximum | 1115 |
| Range | 1114 |
| Interquartile range (IQR) | 557 |
Descriptive statistics
| Standard deviation | 321.7982629 |
|---|---|
| Coefficient of variation (CV) | 0.5768560659 |
| Kurtosis | -1.19993654 |
| Mean | 557.8484512 |
| Median Absolute Deviation (MAD) | 279 |
| Skewness | 0.0001858995185 |
| Sum | 276011141 |
| Variance | 103554.122 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 773 | 479 | 0.1% |
| 763 | 478 | 0.1% |
| 898 | 474 | 0.1% |
| 166 | 473 | 0.1% |
| 486 | 472 | 0.1% |
| 219 | 472 | 0.1% |
| 393 | 472 | 0.1% |
| 793 | 471 | 0.1% |
| 374 | 470 | 0.1% |
| 442 | 470 | 0.1% |
| Other values (1105) | 490047 |
| Value | Count | Frequency (%) |
| 1 | 464 | |
| 2 | 456 | |
| 3 | 444 | |
| 4 | 446 | |
| 5 | 463 | |
| 6 | 451 | |
| 7 | 459 | |
| 8 | 441 | |
| 9 | 430 | |
| 10 | 447 |
| Value | Count | Frequency (%) |
| 1115 | 447 | |
| 1114 | 431 | |
| 1113 | 457 | |
| 1112 | 443 | |
| 1111 | 456 | |
| 1110 | 443 | |
| 1109 | 445 | |
| 1108 | 444 | |
| 1107 | 405 | |
| 1106 | 437 |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.8 MiB |
| a | |
|---|---|
| d | |
| c | |
| b | 7562 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | a |
|---|---|
| 2nd row | a |
| 3rd row | a |
| 4th row | d |
| 5th row | b |
Common Values
| Value | Count | Frequency (%) |
| a | 267306 | |
| d | 153920 | |
| c | 65990 | 13.3% |
| b | 7562 | 1.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| a | 267306 | |
| d | 153920 | |
| c | 65990 | 13.3% |
| b | 7562 | 1.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.8 MiB |
| a | |
|---|---|
| c | |
| b | 4022 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | c |
|---|---|
| 2nd row | c |
| 3rd row | a |
| 4th row | c |
| 5th row | b |
Common Values
| Value | Count | Frequency (%) |
| a | 262625 | |
| c | 228131 | |
| b | 4022 | 0.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| a | 262625 | |
| c | 228131 | |
| b | 4022 | 0.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
CompetitionDistance
Real number (ℝ≥0)
| Distinct | 654 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 1323 |
| Missing (%) | 0.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5409.264553 |
| Minimum | 20 |
|---|---|
| Maximum | 75860 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 140 |
| Q1 | 710 |
| median | 2320 |
| Q3 | 6880 |
| 95-th percentile | 20260 |
| Maximum | 75860 |
| Range | 75840 |
| Interquartile range (IQR) | 6170 |
Descriptive statistics
| Standard deviation | 7674.370685 |
|---|---|
| Coefficient of variation (CV) | 1.418745674 |
| Kurtosis | 13.00397241 |
| Mean | 5409.264553 |
| Median Absolute Deviation (MAD) | 1970 |
| Skewness | 2.924543913 |
| Sum | 2669228640 |
| Variance | 58895965.42 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 250 | 5374 | 1.1% |
| 1200 | 3886 | 0.8% |
| 50 | 3587 | 0.7% |
| 350 | 3586 | 0.7% |
| 190 | 3572 | 0.7% |
| 330 | 3138 | 0.6% |
| 180 | 3130 | 0.6% |
| 150 | 3092 | 0.6% |
| 90 | 3082 | 0.6% |
| 1070 | 2725 | 0.6% |
| Other values (644) | 458283 |
| Value | Count | Frequency (%) |
| 20 | 440 | 0.1% |
| 30 | 1788 | |
| 40 | 2238 | |
| 50 | 3587 | |
| 60 | 1359 | 0.3% |
| 70 | 2260 | |
| 80 | 1333 | 0.3% |
| 90 | 3082 | |
| 100 | 2279 | |
| 110 | 2636 |
| Value | Count | Frequency (%) |
| 75860 | 447 | |
| 58260 | 444 | |
| 48330 | 451 | |
| 46590 | 455 | |
| 45740 | 427 | |
| 44320 | 454 | |
| 40860 | 442 | |
| 40540 | 445 | |
| 38710 | 455 | |
| 38630 | 444 |
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 157257 |
| Missing (%) | 31.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.226048157 |
| Minimum | 1 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 4 |
| median | 8 |
| Q3 | 10 |
| 95-th percentile | 12 |
| Maximum | 12 |
| Range | 11 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.211344325 |
|---|---|
| Coefficient of variation (CV) | 0.4444122506 |
| Kurtosis | -1.243925006 |
| Mean | 7.226048157 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.1715032332 |
| Sum | 2438943 |
| Variance | 10.31273237 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 9 | 55551 | 11.2% |
| 4 | 41762 | 8.4% |
| 11 | 40962 | 8.3% |
| 3 | 31055 | 6.3% |
| 7 | 29457 | 6.0% |
| 12 | 28335 | 5.7% |
| 10 | 27053 | 5.5% |
| 6 | 22204 | 4.5% |
| 5 | 19378 | 3.9% |
| 2 | 18266 | 3.7% |
| Other values (2) | 23498 | 4.7% |
| (Missing) | 157257 |
| Value | Count | Frequency (%) |
| 1 | 6170 | 1.2% |
| 2 | 18266 | 3.7% |
| 3 | 31055 | |
| 4 | 41762 | |
| 5 | 19378 | 3.9% |
| 6 | 22204 | 4.5% |
| 7 | 29457 | |
| 8 | 17328 | 3.5% |
| 9 | 55551 | |
| 10 | 27053 |
| Value | Count | Frequency (%) |
| 12 | 28335 | |
| 11 | 40962 | |
| 10 | 27053 | |
| 9 | 55551 | |
| 8 | 17328 | 3.5% |
| 7 | 29457 | |
| 6 | 22204 | 4.5% |
| 5 | 19378 | 3.9% |
| 4 | 41762 | |
| 3 | 31055 |
| Distinct | 23 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 157257 |
| Missing (%) | 31.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2008.674189 |
| Minimum | 1900 |
|---|---|
| Maximum | 2015 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 1900 |
|---|---|
| 5-th percentile | 2001 |
| Q1 | 2006 |
| median | 2010 |
| Q3 | 2013 |
| 95-th percentile | 2014 |
| Maximum | 2015 |
| Range | 115 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 6.156380181 |
|---|---|
| Coefficient of variation (CV) | 0.003064897341 |
| Kurtosis | 125.8876054 |
| Mean | 2008.674189 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -7.89739704 |
| Sum | 677969721 |
| Variance | 37.90101693 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 2013 | 36852 | 7.4% |
| 2012 | 36309 | 7.3% |
| 2014 | 31055 | 6.3% |
| 2005 | 27533 | 5.6% |
| 2010 | 24534 | 5.0% |
| 2011 | 24069 | 4.9% |
| 2009 | 23971 | 4.8% |
| 2008 | 23793 | 4.8% |
| 2007 | 21245 | 4.3% |
| 2006 | 20896 | 4.2% |
| Other values (13) | 67264 | |
| (Missing) | 157257 |
| Value | Count | Frequency (%) |
| 1900 | 427 | 0.1% |
| 1961 | 462 | 0.1% |
| 1990 | 2252 | 0.5% |
| 1994 | 882 | 0.2% |
| 1995 | 889 | 0.2% |
| 1998 | 441 | 0.1% |
| 1999 | 3548 | 0.7% |
| 2000 | 4419 | 0.9% |
| 2001 | 7043 | |
| 2002 | 11994 |
| Value | Count | Frequency (%) |
| 2015 | 16844 | |
| 2014 | 31055 | |
| 2013 | 36852 | |
| 2012 | 36309 | |
| 2011 | 24069 | |
| 2010 | 24534 | |
| 2009 | 23971 | |
| 2008 | 23793 | |
| 2007 | 21245 | |
| 2006 | 20896 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.8 MiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 252115 | |
| 0 | 242663 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 252115 | |
| 0 | 242663 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 24 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 242663 |
| Missing (%) | 49.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 23.51320627 |
| Minimum | 1 |
|---|---|
| Maximum | 50 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 13 |
| median | 22 |
| Q3 | 37 |
| 95-th percentile | 45 |
| Maximum | 50 |
| Range | 49 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 14.12903756 |
|---|---|
| Coefficient of variation (CV) | 0.6008979547 |
| Kurtosis | -1.383594275 |
| Mean | 23.51320627 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 0.08225705468 |
| Sum | 5928032 |
| Variance | 199.6297024 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 14 | 35930 | 7.3% |
| 40 | 33099 | 6.7% |
| 31 | 19578 | 4.0% |
| 10 | 18688 | 3.8% |
| 5 | 17406 | 3.5% |
| 37 | 15627 | 3.2% |
| 1 | 15611 | 3.2% |
| 13 | 14958 | 3.0% |
| 45 | 14936 | 3.0% |
| 22 | 14374 | 2.9% |
| Other values (14) | 51908 | 10.5% |
| (Missing) | 242663 |
| Value | Count | Frequency (%) |
| 1 | 15611 | |
| 5 | 17406 | |
| 6 | 451 | 0.1% |
| 9 | 6161 | 1.2% |
| 10 | 18688 | |
| 13 | 14958 | |
| 14 | 35930 | |
| 18 | 12935 | 2.6% |
| 22 | 14374 | |
| 23 | 2182 | 0.4% |
| Value | Count | Frequency (%) |
| 50 | 469 | 0.1% |
| 49 | 416 | 0.1% |
| 48 | 4052 | 0.8% |
| 45 | 14936 | |
| 44 | 1345 | 0.3% |
| 40 | 33099 | |
| 39 | 2557 | 0.5% |
| 37 | 15627 | |
| 36 | 4436 | 0.9% |
| 35 | 11137 | 2.3% |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 242663 |
| Missing (%) | 49.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2011.758249 |
| Minimum | 2009 |
|---|---|
| Maximum | 2015 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 2009 |
|---|---|
| 5-th percentile | 2009 |
| Q1 | 2011 |
| median | 2012 |
| Q3 | 2013 |
| 95-th percentile | 2014 |
| Maximum | 2015 |
| Range | 6 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.670213506 |
|---|---|
| Coefficient of variation (CV) | 0.0008302257524 |
| Kurtosis | -1.057709888 |
| Mean | 2011.758249 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.1188747565 |
| Sum | 507194431 |
| Variance | 2.789613156 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2011 | 56648 | 11.4% |
| 2013 | 53489 | 10.8% |
| 2014 | 41202 | 8.3% |
| 2012 | 35876 | 7.3% |
| 2009 | 32314 | 6.5% |
| 2010 | 28202 | 5.7% |
| 2015 | 4384 | 0.9% |
| (Missing) | 242663 |
| Value | Count | Frequency (%) |
| 2009 | 32314 | |
| 2010 | 28202 | |
| 2011 | 56648 | |
| 2012 | 35876 | |
| 2013 | 53489 | |
| 2014 | 41202 | |
| 2015 | 4384 | 0.9% |
| Value | Count | Frequency (%) |
| 2015 | 4384 | 0.9% |
| 2014 | 41202 | |
| 2013 | 53489 | |
| 2012 | 35876 | |
| 2011 | 56648 | |
| 2010 | 28202 | |
| 2009 | 32314 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 242663 |
| Missing (%) | 49.0% |
| Memory size | 3.8 MiB |
| Jan,Apr,Jul,Oct | |
|---|---|
| Feb,May,Aug,Nov | |
| Mar,Jun,Sept,Dec |
Length
| Max length | 16 |
|---|---|
| Median length | 15 |
| Mean length | 15.18682744 |
| Min length | 15 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Feb,May,Aug,Nov |
|---|---|
| 2nd row | Jan,Apr,Jul,Oct |
| 3rd row | Feb,May,Aug,Nov |
| 4th row | Feb,May,Aug,Nov |
| 5th row | Feb,May,Aug,Nov |
Common Values
| Value | Count | Frequency (%) |
| Jan,Apr,Jul,Oct | 147111 | |
| Feb,May,Aug,Nov | 57902 | 11.7% |
| Mar,Jun,Sept,Dec | 47102 | 9.5% |
| (Missing) | 242663 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| jan,apr,jul,oct | 147111 | |
| feb,may,aug,nov | 57902 | 23.0% |
| mar,jun,sept,dec | 47102 | 18.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 577 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.8 MiB |
| 2013-02-12 | 905 |
|---|---|
| 2014-05-09 | 902 |
| 2013-01-14 | 901 |
| 2013-07-28 | 900 |
| 2013-05-13 | 899 |
| Other values (572) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2014-02-02 |
|---|---|
| 2nd row | 2013-07-19 |
| 3rd row | 2013-11-24 |
| 4th row | 2013-03-01 |
| 5th row | 2013-12-17 |
Common Values
| Value | Count | Frequency (%) |
| 2013-02-12 | 905 | 0.2% |
| 2014-05-09 | 902 | 0.2% |
| 2013-01-14 | 901 | 0.2% |
| 2013-07-28 | 900 | 0.2% |
| 2013-05-13 | 899 | 0.2% |
| 2013-09-16 | 899 | 0.2% |
| 2013-06-14 | 898 | 0.2% |
| 2014-03-05 | 897 | 0.2% |
| 2013-08-01 | 896 | 0.2% |
| 2013-01-10 | 896 | 0.2% |
| Other values (567) | 485785 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2013-02-12 | 905 | 0.2% |
| 2014-05-09 | 902 | 0.2% |
| 2013-01-14 | 901 | 0.2% |
| 2013-07-28 | 900 | 0.2% |
| 2013-05-13 | 899 | 0.2% |
| 2013-09-16 | 899 | 0.2% |
| 2013-06-14 | 898 | 0.2% |
| 2014-03-05 | 897 | 0.2% |
| 2013-07-12 | 896 | 0.2% |
| 2013-01-10 | 896 | 0.2% |
| Other values (567) | 485785 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 14838 |
| Missing (%) | 3.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.993878401 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 7 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 1.997798516 |
|---|---|
| Coefficient of variation (CV) | 0.5002151582 |
| Kurtosis | -1.247693749 |
| Mean | 3.993878401 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.005397276137 |
| Sum | 1916822 |
| Variance | 3.991198912 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 69077 | |
| 4 | 68851 | |
| 3 | 68809 | |
| 5 | 68433 | |
| 1 | 68422 | |
| 6 | 68186 | |
| 7 | 68162 | |
| (Missing) | 14838 | 3.0% |
| Value | Count | Frequency (%) |
| 1 | 68422 | |
| 2 | 69077 | |
| 3 | 68809 | |
| 4 | 68851 | |
| 5 | 68433 | |
| 6 | 68186 | |
| 7 | 68162 |
| Value | Count | Frequency (%) |
| 7 | 68162 | |
| 6 | 68186 | |
| 5 | 68433 | |
| 4 | 68851 | |
| 3 | 68809 | |
| 2 | 69077 | |
| 1 | 68422 |
Customers
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSINGZEROS| Distinct | 3745 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 14900 |
| Missing (%) | 3.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 628.8059215 |
| Minimum | 0 |
|---|---|
| Maximum | 7388 |
| Zeros | 82004 |
| Zeros (%) | 16.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.8 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 398 |
| median | 604 |
| Q3 | 833 |
| 95-th percentile | 1362 |
| Maximum | 7388 |
| Range | 7388 |
| Interquartile range (IQR) | 435 |
Descriptive statistics
| Standard deviation | 463.3450633 |
|---|---|
| Coefficient of variation (CV) | 0.7368649808 |
| Kurtosis | 7.113851144 |
| Mean | 628.8059215 |
| Median Absolute Deviation (MAD) | 218 |
| Skewness | 1.597509155 |
| Sum | 301750128 |
| Variance | 214688.6476 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 82004 | 16.6% |
| 560 | 1147 | 0.2% |
| 555 | 1127 | 0.2% |
| 517 | 1118 | 0.2% |
| 528 | 1106 | 0.2% |
| 582 | 1104 | 0.2% |
| 625 | 1103 | 0.2% |
| 576 | 1100 | 0.2% |
| 603 | 1097 | 0.2% |
| 571 | 1095 | 0.2% |
| Other values (3735) | 387877 | |
| (Missing) | 14900 | 3.0% |
| Value | Count | Frequency (%) |
| 0 | 82004 | |
| 18 | 1 | < 0.1% |
| 36 | 1 | < 0.1% |
| 40 | 1 | < 0.1% |
| 50 | 1 | < 0.1% |
| 60 | 1 | < 0.1% |
| 61 | 1 | < 0.1% |
| 64 | 1 | < 0.1% |
| 68 | 1 | < 0.1% |
| 74 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 7388 | 1 | |
| 5387 | 1 | |
| 5297 | 1 | |
| 5112 | 1 | |
| 5106 | 1 | |
| 5063 | 1 | |
| 5034 | 1 | |
| 5028 | 1 | |
| 5014 | 1 | |
| 5013 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 14775 |
| Missing (%) | 3.0% |
| Memory size | 3.8 MiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 398060 | |
| 0.0 | 81943 | 16.6% |
| (Missing) | 14775 | 3.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 398060 | |
| 0.0 | 81943 | 17.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 14915 |
| Missing (%) | 3.0% |
| Memory size | 3.8 MiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 302306 | |
| 1.0 | 177557 | |
| (Missing) | 14915 | 3.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 302306 | |
| 1.0 | 177557 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 15033 |
| Missing (%) | 3.0% |
| Memory size | 3.8 MiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 396594 | |
| 1.0 | 83151 | 16.8% |
| (Missing) | 15033 | 3.0% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 396594 | |
| 1.0 | 83151 | 17.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| df_index | Sales | Store | StoreType | Assortment | CompetitionDistance | CompetitionOpenSinceMonth | CompetitionOpenSinceYear | Promo2 | Promo2SinceWeek | Promo2SinceYear | PromoInterval | Date | DayOfWeek | Customers | Open | Promo | StateHoliday | SchoolHoliday | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 290482 | 0.0 | 524 | a | c | 40860.0 | 9.0 | 2013.0 | 0 | NaN | NaN | NaN | 2014-02-02 | 7.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 |
| 1 | 139915 | 6267.0 | 253 | a | c | 250.0 | NaN | NaN | 1 | 5.0 | 2013.0 | Feb,May,Aug,Nov | 2013-07-19 | 5.0 | 749.0 | 1.0 | 1.0 | 0 | 0.0 |
| 2 | 318657 | 0.0 | 575 | a | a | 960.0 | 5.0 | 2008.0 | 1 | 13.0 | 2010.0 | Jan,Apr,Jul,Oct | 2013-11-24 | 7.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 |
| 3 | 361617 | 5900.0 | 653 | d | c | 7520.0 | 7.0 | 2014.0 | 1 | 45.0 | 2009.0 | Feb,May,Aug,Nov | 2013-03-01 | NaN | 548.0 | 1.0 | 0.0 | 0 | 0.0 |
| 4 | 374646 | 8468.0 | 676 | b | b | 1410.0 | 9.0 | 2008.0 | 0 | NaN | NaN | NaN | 2013-12-17 | 2.0 | 1767.0 | 1.0 | 1.0 | 0 | 0.0 |
| 5 | 166 | 5011.0 | 1 | c | a | 1270.0 | 9.0 | 2008.0 | 0 | NaN | NaN | NaN | 2013-06-20 | 4.0 | 539.0 | 1.0 | 1.0 | 0 | 0.0 |
| 6 | 194544 | 5437.0 | 351 | a | a | 5290.0 | 11.0 | 2012.0 | 1 | 5.0 | 2013.0 | Feb,May,Aug,Nov | 2014-06-07 | 6.0 | 493.0 | 1.0 | 0.0 | 0 | 0.0 |
| 7 | 503508 | 8226.0 | 909 | a | c | 1680.0 | NaN | NaN | 1 | 45.0 | 2009.0 | Feb,May,Aug,Nov | 2013-01-04 | 5.0 | 876.0 | 1.0 | 0.0 | 0 | 1.0 |
| 8 | 45019 | 8085.0 | 82 | a | a | 22390.0 | 4.0 | 2008.0 | 1 | 37.0 | 2009.0 | Jan,Apr,Jul,Oct | 2013-03-15 | 5.0 | 831.0 | 1.0 | 0.0 | 0 | 0.0 |
| 9 | 29651 | 0.0 | 54 | d | c | 7170.0 | 8.0 | 2014.0 | 1 | 5.0 | 2013.0 | Feb,May,Aug,Nov | 2013-10-06 | 7.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 |
Last rows
| df_index | Sales | Store | StoreType | Assortment | CompetitionDistance | CompetitionOpenSinceMonth | CompetitionOpenSinceYear | Promo2 | Promo2SinceWeek | Promo2SinceYear | PromoInterval | Date | DayOfWeek | Customers | Open | Promo | StateHoliday | SchoolHoliday | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 494768 | 175203 | 5078.0 | 317 | d | a | 3140.0 | 7.0 | 2013.0 | 1 | 14.0 | 2011.0 | Jan,Apr,Jul,Oct | 2013-04-05 | 5.0 | 604.0 | 1.0 | 0.0 | 0 | 1.0 |
| 494769 | 87498 | 8277.0 | 158 | d | c | 11840.0 | NaN | NaN | 1 | 31.0 | 2009.0 | Feb,May,Aug,Nov | 2014-06-10 | 2.0 | 522.0 | 1.0 | 0.0 | 0 | 0.0 |
| 494770 | 521430 | 6063.0 | 941 | a | a | 1200.0 | 12.0 | 2011.0 | 1 | 31.0 | 2013.0 | Jan,Apr,Jul,Oct | 2013-06-18 | 2.0 | 651.0 | 1.0 | 1.0 | 0 | 0.0 |
| 494771 | 137337 | 5581.0 | 248 | a | c | 340.0 | 9.0 | 2012.0 | 1 | 40.0 | 2012.0 | Jan,Apr,Jul,Oct | 2014-03-11 | 2.0 | 945.0 | 1.0 | 0.0 | 0.0 | 0.0 |
| 494772 | 54886 | 4860.0 | 99 | c | c | 2030.0 | 11.0 | 2003.0 | 1 | 22.0 | 2012.0 | Mar,Jun,Sept,Dec | 2014-04-26 | NaN | 464.0 | 1.0 | 0.0 | 0 | 0.0 |
| 494773 | 110268 | 0.0 | 200 | a | a | 1650.0 | 10.0 | 2000.0 | 0 | NaN | NaN | NaN | 2013-05-12 | 7.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 |
| 494774 | 259178 | 4860.0 | 468 | c | c | 5260.0 | 9.0 | 2012.0 | 0 | NaN | NaN | NaN | 2013-02-11 | 1.0 | 603.0 | 1.0 | 0.0 | 0 | 0.0 |
| 494775 | 365838 | 5691.0 | 660 | a | a | 1200.0 | 11.0 | 2006.0 | 1 | 40.0 | 2014.0 | Jan,Apr,Jul,Oct | 2014-01-10 | 5.0 | 618.0 | 1.0 | 1.0 | 0 | 0.0 |
| 494776 | 131932 | 4180.0 | 239 | d | c | 610.0 | NaN | NaN | 0 | NaN | NaN | NaN | 2013-02-23 | 6.0 | 432.0 | 1.0 | 0.0 | 0 | 0.0 |
| 494777 | 121958 | 5931.0 | 221 | d | c | 13530.0 | 9.0 | 2013.0 | 0 | NaN | NaN | NaN | 2013-06-06 | NaN | 590.0 | 1.0 | 1.0 | 0 | 0.0 |